Is Human Being Computable, or Anthropology of Artificial Intelligence. Methodological Aspect

被引:0
|
作者
Smirnov, S. A. [1 ]
机构
[1] Russian Acad Sci, Inst Philosophy & Law, Siberian Branch, 8 Ul Nikolayeva, Novosibirsk 630090, Russia
基金
俄罗斯科学基金会;
关键词
artificial intelligence; human; anthropological basis; the mediation principle; the quantifiability principle;
D O I
10.21638/spbu17.2023.306
中图分类号
B [哲学、宗教];
学科分类号
01 ; 0101 ;
摘要
The article analyzes the anthropological paradigms of the mainstream approaches to AI development. The article concludes that the principle of computability (quantifiability) first introduced in the early stages of AI development (namely by A. Turing) is still paramount. The article showcases the way this principle is rooted in what Heidegger described as treating humans and the state of being itself as a consumable and ultimately destructible commodity. One tries to quantify the state of being in order to consume it. As a consequence, humanity approaches the creation of a "thinking machine" as an exercise in self-imitation. The article highlights the deficiencies of creating AI via copying human patterns. The article also suggests a viable alternative - a mediatory method, developed by culturally-historical psychology. The latter perceives the thought process not as a brain activity but as a objective act, mediated through sings and speech. This way of thinking leads to a new strategy of AI development - as a smart helping hand for humans. This, however, requires an overhaul in medical, educational, governmental and many other social practices. The author concludes that any AI development is bound to start with a social engineering process, renovating the principles, governing day to day lives. This is why the development of AI is not a purely technological task. Is affects a deeper level of human existence, unfit to be interpreted in numerical terms.
引用
收藏
页码:478 / 491
页数:14
相关论文
共 50 条
  • [1] ARTIFICIAL INTELLIGENCE.
    Muspratt, Murray A.
    Journal of professional issues in engineering, 1986, 112 (03): : 158 - 169
  • [2] ARTIFICIAL INTELLIGENCE.
    Hillman, Donald J.
    1600, (27):
  • [3] ARTIFICIAL INTELLIGENCE.
    Mayer, Gerard F.
    1600, (28):
  • [4] Artificial Intelligence. The area of adaptive possibilities for methodological innovations in pedagogic education
    Vlasova, Elena Zotikovna
    Goncharova, Svetlana Viktorovna
    Kuzin, Zotik Semenovich
    Karpova, Natalya Aleksandrovna
    Ilina, Tatyana Sergeevna
    Gossoudarev, Ilia Borisovich
    Avksentieva, Elena Yurevna
    DILEMAS CONTEMPORANEOS-EDUCACION POLITICA Y VALORES, 2019, 7
  • [5] CSCW and artificial intelligence.
    不详
    TRAVAIL HUMAIN, 1998, 61 (04): : 404 - 404
  • [6] INTRODUCTION TO ARTIFICIAL INTELLIGENCE.
    Kumara, Soundar
    Soyster, Allen L.
    Kashyap, R.L.
    1600, (18):
  • [7] Artificial intelligence. The political challenges of improving human capacities
    Perez Marquez, Carlos Eduardo
    FORO INTERNACIONAL, 2021, 61 (03) : 831 - 832
  • [9] EXPERT SYSTEMS AND ARTIFICIAL INTELLIGENCE.
    Fischer, Charles H.
    Iron and Steel Engineer, 1985, 62 (11): : 58 - 62
  • [10] CONCEPT OF INDIRECTNESS IN ARTIFICIAL INTELLIGENCE.
    Havel, Ivan M.
    Kybernetika, 1972, 8 (02) : 154 - 164